Time-constrained test selection for regression testing

Authors:
Lian Yu;Lei Xu;Wei-Tek Tsai
Affiliations:
School of Software and Microelectronics, Peking University, P.R. China and Department of Computer Science and Engineering, Arizona State University;School of Software and Microelectronics, Peking University, P.R. China and Department of Computer Science and Engineering, Arizona State University;School of Software and Microelectronics, Peking University, P.R. China and Department of Computer Science and Engineering, Arizona State University
Venue:
ADMA'10 Proceedings of the 6th international conference on Advanced data mining and applications - Volume Part II
Year:
2010

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Abstract

The strategy of regression test selection is critical to a new version of software product. Although several strategies have been proposed, the issue, how to select test cases that not only can detect faults with high probability but also can be executed within a limited period of test time, remains open. This paper proposes to utilize data-mining approach to select test cases, and dynamic programming approach to find the optimal test case set from the selected test cases such that they can detect most faults and meet testing deadline. The models have been applied to a large financial management system with a history of 11 releases over 5 years.